Aufsatz in einer Fachzeitschrift
Detection of linear and circular shapes in image analysis
Details zur Publikation
Autor(inn)en: | Garlipp, T.; Müller, C. |
Verlag: | Elsevier Science B. V., Amsterdam. |
Publikationsjahr: | 2006 |
Zeitschrift: | Computational Statistics & Data Analysis |
Seitenbereich: | 1479-1490 |
Jahrgang/Band : | 51 |
ISSN: | 0167-9473 |
eISSN: | 1872-7352 |
DOI-Link der Erstveröffentlichung: |
Zusammenfassung, Abstract
A two-step algorithm is proposed for estimating linear and circular shapes in noisy images. Initially and based on a previously proposed method, the pixels which are close to the edges of the shape are detected. These edges are assumed to be coming from a mixture of (linear or circular) regression functions and the parameters of these functions are estimated. An example with a triangle demonstrates the immense advantage of using an outlier robust estimator for the edge points. A second example deals with a problem from biology where the detection of circular shapes of fungi colonies is of interest. (c) 2006 Elsevier B.V. All rights reserved.
A two-step algorithm is proposed for estimating linear and circular shapes in noisy images. Initially and based on a previously proposed method, the pixels which are close to the edges of the shape are detected. These edges are assumed to be coming from a mixture of (linear or circular) regression functions and the parameters of these functions are estimated. An example with a triangle demonstrates the immense advantage of using an outlier robust estimator for the edge points. A second example deals with a problem from biology where the detection of circular shapes of fungi colonies is of interest. (c) 2006 Elsevier B.V. All rights reserved.
